Biopython

Source distributions and Windows installers for Biopython 1.60 are now available from the downloads page on the Biopython website and from the Python Package Index (PyPI).

Platforms/Deployment

We currently support Python 2.5, 2.6 and 2.7 and also test under Jython 2.5 and PyPy 1.9 (which does not cover NumPy or our C extensions). Please note that Python 2.4 or earlier is not supported.

Most functionality is also working under Python 3.1 and 3.2 (including modules using NumPy). We are now encouraging early adopters to help beta testing on these platforms, and have included a ‘beta’ installer for Python 3.2 under 32-bit Windows.

Hello all,

I’m very pleased and excited to announce that the Open Bioinformatics Foundation has selected 5 very capable students to work on OBF projects this summer as part of the Google Summer of Code (GSoC) program.

The accepted students, their projects, and their mentors (in alphabetical order):

• Wibowo Arindrarto:
  SearchIO Implementation in Biopython
  mentored by Peter Cock
• Lenna Peterson:
  Diff My DNA: Development of a Genomic Variant Toolkit for Biopython
  mentored by Brad Chapman, Reece Hart, James Casbon
• Marjan Povolni:
  The worlds fastest parallelized GFF3/GTF parser in D, and an interfacing biogem plugin for Ruby
  mentored by Pjotr Prins, Francesco Strozzi, Raoul Bonnal
• Artem Tarasov:
  Fast parallelized GFF3/GTF parser in C++, with Ruby FFI bindings
  mentored by Pjotr Prins, Francesco Strozzi, Raoul Bonnal
• Clayton Wheeler:
  Multiple Alignment Format parser for BioRuby
  mentored by Francesco Strozzi and Raoul Bonnal

As in every year, we received many great applications and ideas. However, funding and mentor resources are limited, and we were not able to accept as many as we would have liked. Our deepest thanks to all the students who applied: we sincerely appreciate the time and effort you put into your applications, and hope you will still consider being a part of the OBF’s open source projects, even without Google funding. I speak for myself and all of the mentors who read and scored applications when I say that we were truly honored by the number and quality of the applications we received.

I’ve just finished writing up an example for the Biopython Tutorial of the new GenomeDiagram functionality added in Biopython 1.59. You can now control the start and end points of individual tracks, and you can add cross-links between regions of different tracks, as shown here:

This example attempts a simplified reproduction of Figure 6 in Proux et al. (2002), and shows three related phage genomes one above the other. Different classes of genes have been given different colors, while the strength of the red shaded cross-links indicates the percentage identity of the linked genes. Note there are some minor differences in the GenBank annotation we’ve used and the genes shown in the original figure.

Source distributions and Windows installers for Biopython 1.59 are now available from the downloads page on the Biopython website and from the Python Package Index (PyPI).

Platforms/Deployment

We currently support Python 2.5, 2.6 and 2.7 and also test under Jython 2.5 (which does not cover NumPy). Please note that this release will not work on Python 2.4

Most functionality is also working under Python 3.1 and 3.2 (including modules using NumPy), and under PyPy (excluding our NumPy dependencies). We are now encouraging early adopters to help beta testing on these platforms.

One of the new things coming in Biopython 1.59 is improved chromosome diagrams, something you may have seen via Twitter. I’ve just been updating the Biopython Tutorial (current version here, PDF) to include an example drawing this:

Here’s a PDF version too. This example just parses the Arabidopsis thaliana GenBank files to get the chromosome lengths and the tRNA gene placements. There are so many tRNA on the forward strand of Chr I that their labels are forced to overlap. Here the figure just uses a different color for each chromosome, but you can color each feature individually.

Source distributions and Windows installers for Biopython 1.58 are available from the downloads page on the Biopython website and from the Python Package Index (PyPI).

A new interface and parsers for the PAML (Phylogenetic Analysis by Maximum Likelihood) package of programs, supporting codeml, baseml and yn00 as well as a Python re-implementation of chi2 was added as the Bio.Phylo.PAML module.

Bio.SeqIO now includes read and write support for the SeqXML, a simple XML format offering basic annotation support. See Schmitt et al (2011) in Briefings in Bioinformatics.

The Biopython community is pleased to announce the release of Biopython 1.57. Source distributions and Windows installers are available from the downloads page on the Biopython website and from the Python Package Index.

Bio.SeqIO now includes an index_db() function which extends the existing indexing functionality to allow indexing many files, and more importantly this keeps the index on disk in a simple SQLite3 database rather than in memory in a Python dictionary.

Bio.Blast.Applications now includes a wrapper for the BLAST+ blast_formatter tool from NCBI BLAST 2.2.24+ or later. This release of BLAST+ added the ability to run the BLAST tools and save the output as ASN.1 format, and then convert this to any other supported BLAST ouput format (plain text, tabular, XML, or HTML) with the blast_formatter tool. The wrappers were also updated to include new arguments added in BLAST 2.2.25+ such as -db_hard_mask.

Great news: Google announced today that the Open Bioinformatics Foundation (OBF) has been accepted as a mentoring organization for this summer’s Google Summer of Code!

GSoC is a Google-sponsored student internship program for open-source projects, open to students from around the world (not just US residents). Students are paid a $5000 USD stipend to work as a developer on an open-source project for the summer. For more on GSoC, see GSoC 2011 FAQ.

Due to a huge influx of spam across all OBF wikis, we are in the process of locking down new user account creation and adding OpenID logins for the OBF wikis (BioPerl example). User account creation via the old login system will be disabled and OpenID will be the default path for new accounts so users to make wiki changes.  This currently appears to have cut the incidence of spam significantly.  We will be adding information to the login pages to redirect new users to the new login page.

The OBF now has a sparkly new Redmine instance running on Amazon EC2, thanks to efforts from Chris Dagdigian and Jason Stajich (with some admin help from yours truly).  Bugs and user names (along with email contacts) from our old Bugzilla v2 server have been migrated over, though some links need to be fixed.

Redmine is a project management web application that has several nice features over other systems, including issue tracking, multiple project management, wikis, forums, and calendaring.